Zerrendatu Kongresuak-Ingeniaritza honen arabera: egilea "caed28184827c7bfcd3727737b5ba7c2"
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Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
Arana-Arexolaleiba, Nestor (IEEE, 2020)The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ... -
Evaluación de la experiencia de uso de un entorno robótico industrial en realidad virtual
Apraiz Iriarte, Ainhoa; Lasa, Ganix; Arana-Arexolaleiba, Nestor; Serrano Muñoz, Antonio; Elguea, Íñigo (AEIPRO, 2022)Industry 4.0 is leading to a whole new level of process automation, thus redefining the role of humans, and altering existing jobs in yet unknown ways. Although the number of robots in the manufacturing industry has been ... -
Fear Field: Adaptive constraints for safe environment transitions in Shielded Reinforcement Learning
Odriozola Olalde, Haritz; Arana-Arexolaleiba, Nestor (CEUR-WS.org, 2023)Shielding methods for Reinforcement Learning agents show potential for safety-critical industrial applications. However, they still lack robustness on nominal safety, a key property for safety control systems. In the case ... -
Implementation analysis for a hybrid particle filter on an FPGA based smart camera
Zuriarrain Arcarazo, Iker; Arana-Arexolaleiba, Nestor (Scitepress, 2010)Design and development of embedded devices which perform computer vision related task presents many challenges, many of which stem from attempting to fit the complexity of many higher level vision algorithms into the ... -
Labor Induction failure prediction based on B-Mode Ultrasound Image Processing using Multiscale Local Binary Patterns
Arana-Arexolaleiba, Nestor; Izaguirre Altuna, Alberto (IEEE, 2016)Labor induction is defined as the artificial onset of labor for the purpose of vaginal birth. Cesarean section is one of the potential risks of labor induction as it occurs in about 20% of the inductions. A ripe cervix ... -
Labor Induction failure prediction using Gabor filterbanks and Center Symmetric Local Binary Patterns
Arana-Arexolaleiba, Nestor; Izaguirre Altuna, Alberto (IEEE, 2018)Labor induction is defined as the artificial stimulation of uterine contractions aimed to induce vaginal birth. Occurring in about 20% of pregnancies labor induction has become one the most commonly practiced procedures ... -
A Scalable and Unified Multi-Control Framework for KUKA LBR iiwa Collaborative Robots
Serrano Muñoz, Antonio; Elguea, Íñigo; Arana-Arexolaleiba, Nestor (IEEE, 2023)The trend towards industrialization and digitalization has led more and more companies to deploy robots in their manufacturing facilities. In the field of collaborative robotics, the KUKA LBR iiwa is one of the benchmark ... -
Shielded Reinforcement Learning: A review of reactive methods for safe learning
Arana-Arexolaleiba, Nestor (IEEE, 2023)Reinforcement Learning (RL) algorithms are showing promising results in simulated environments, but their replication in real physical applications, even more so in safety-critical applications, is not yet guaranteed. ...